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Designs for Clinical Trials: Perspectives on Current Issues

Each chapter will be written by an expert conducting
research in the topic of that chapter.

This book examines current issues and controversies in
the design of clinical trials, including topics in adaptive and sequential
designs, the design of correlative genomic studies, and the design of studies
in which missing data is anticipated.

The chapters serve as a guidance for statisticians
designing trials.

Statistical methods for clinical trials have been an area
of active research in Biostatistics since the first modern clinical trials were
mounted in 1946 by the British Medical Research Council in whooping cough and
tuberculosis. Often, the participants in clinical trials suffer from potentially
fatal chronic diseases, and it is especially important that these experiments in
medical research use designs that are efficient, can be understood by
physicians, policy makers and patients, respond quickly new ideas in medicine
and statistics, and, perhaps above all, show respect for the complex and
important ethical issues that arise in these
settings.